1st International Workshop on Multi-Engine Data AnaLytics (MEDAL 2016) by MedalWorkshop2016
The ASAP FP7 research project developed a dynamic open-source execution framework for scalable data analytics. The underlying idea was that no single execution model is suitable for all types of tasks, and no single data model (and store) is suitable for all types of data. Complex analytical tasks over multi-engine environments therefore require integrated profiling, modeling, planning and scheduling functions.
To facilitate the building and execution of complex analytics workflows, the ASAP project pursued four main goals:
The generic nature of the ASAP architecture supports a wide range of different tasks. Within the project, the consortium focused on the real-time analysis of Web content and telecommunications data . Currently extended as part of the EVOLVE big data project (Horizon 2020) and applied to a range of different use cases such as agriculture, mobility and maritime services, the content processing capabilities will also form the basis for planned Horizon Europe submissions.
1st International Workshop on Multi-Engine Data AnaLytics (MEDAL 2016) by MedalWorkshop2016